code: def _get_obs(self):
      if type(self.observation_shape) is list:
          return [np.random.random(s) for s in self.observation_shape]
      else:
          return np.random.random(self.observation_shape)
  
file_path: keras-rl/tests/rl/util.py
imports: import numpy
  import random
  from rl.core import Env
label_desc: Use image node_id 4 for calling the MultiInputTestEnv obj's underlying member method code with example usage: obj._get_obs() and returns: unknown, np